Indranil Ghosh

1.2k total citations
63 papers, 842 citations indexed

About

Indranil Ghosh is a scholar working on Economics and Econometrics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Indranil Ghosh has authored 63 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Economics and Econometrics, 36 papers in Management Science and Operations Research and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Indranil Ghosh's work include Stock Market Forecasting Methods (31 papers), Market Dynamics and Volatility (30 papers) and Energy Load and Power Forecasting (13 papers). Indranil Ghosh is often cited by papers focused on Stock Market Forecasting Methods (31 papers), Market Dynamics and Volatility (30 papers) and Energy Load and Power Forecasting (13 papers). Indranil Ghosh collaborates with scholars based in India, Spain and United Kingdom. Indranil Ghosh's co-authors include Rabin K. Jana, Manas Kumar Sanyal, Tamal Datta Chaudhuri, Noelia García, Esteban Alfaro, Matías Gámez, Debojyoti Das, Pranab K. Dan, Sanjib Biswas and Anupam Dutta and has published in prestigious journals such as Journal of Clinical Oncology, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Indranil Ghosh

60 papers receiving 802 citations

Peers

Countries citing papers authored by Indranil Ghosh

Since Specialization

Citations

This map shows the geographic impact of Indranil Ghosh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Indranil Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indranil Ghosh more than expected).

Fields of papers citing papers by Indranil Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indranil Ghosh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Indranil Ghosh. The network helps show where Indranil Ghosh may publish in the future.

Co-authorship network of co-authors of Indranil Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Indranil Ghosh. A scholar is included among the top collaborators of Indranil Ghosh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Indranil Ghosh. Indranil Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology 2025 ·Annals of Operations Research ·Indranil Ghosh, (unknown), Mohammad Zoynul Abedin, Kazim Topuz	1
2	Modelling financial stress during the COVID-19 pandemic: Prediction and deeper insights 2024 ·International Review of Economics & Finance ·Indranil Ghosh, Rabin K. Jana, David Roubaud, Oksana Grebinevych, Peter Wänke, Yong Tan	2
3	AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework 2024 ·Technological Forecasting and Social Change ·(unknown), Rabin K. Jana, Indranil Ghosh	10
4	Enablers of new business density: a comparison between developed and developing countries using deep learning and explainable AI 2024 ·Benchmarking An International Journal ·(unknown), Rabin K. Jana, Indranil Ghosh	0
5	A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event 2023 ·Technological Forecasting and Social Change ·Indranil Ghosh, Rabin K. Jana	11
6	COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison 2023 ·Risks ·Indranil Ghosh, Esteban Alfaro, Matías Gámez, Noelia García	4
7	Modeling hydro, nuclear, and renewable electricity generation in India: An atom search optimization-based EEMD-DBSCAN framework and explainable AI 2023 ·Heliyon ·Indranil Ghosh, Esteban Alfaro, Matías Gámez, Noelia García	4
8	Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI 2023 ·Technological Forecasting and Social Change ·Indranil Ghosh, Rabin K. Jana	22
9	Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network 2022 ·Technological Forecasting and Social Change ·Rabin K. Jana, Indranil Ghosh, Martin W. Wallin	32
10	A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases 2022 ·Annals of Operations Research ·Rabin K. Jana, Indranil Ghosh	25
11	New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks 2022 ·Benchmarking An International Journal ·Indranil Ghosh, Rabin K. Jana, (unknown)	6
12	Do travel uncertainty and invasion rhetoric spur Metaverse financial asset? – Gauging the role of media influence 2022 ·Finance research letters ·Indranil Ghosh, Esteban Alfaro, Matías Gámez, Noelia García	14
13	Time-varying relationship between geopolitical uncertainty and agricultural investment 2022 ·Finance research letters ·Rabin K. Jana, Indranil Ghosh	8
14	Can financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies 2022 ·Complex & Intelligent Systems ·Indranil Ghosh, Dragan Pamučar	11
15	Determinants of electronic waste generation in Bitcoin network: Evidence from the machine learning approach 2021 ·Technological Forecasting and Social Change ·Rabin K. Jana, Indranil Ghosh, Debojyoti Das, Anupam Dutta	25
16	A differential evolution-based regression framework for forecasting Bitcoin price 2021 ·Annals of Operations Research ·Rabin K. Jana, Indranil Ghosh, Debojyoti Das	48
17	A granular deep learning approach for predicting energy consumption 2020 ·Applied Soft Computing ·Rabin K. Jana, Indranil Ghosh, Manas Kumar Sanyal	42
18	Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH 2020 ·Computational Economics ·Indranil Ghosh, Manas Kumar Sanyal, Rabin K. Jana	46
19	Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms 2019 ·Applied Soft Computing ·Indranil Ghosh, Rabin K. Jana, Manas Kumar Sanyal	45
20	High incidence of early metabolic syndrome in germ cell tumor: Report from a tertiary cancer center in India. 2016 ·Journal of Clinical Oncology ·Bivas Biswas, (unknown), Sandip Ganguly, (unknown), Indranil Ghosh, Saugata Sen, (unknown), (unknown), Sujoy Gupta, Indranil Mallick, Pradip Kumar Mondal, (unknown)	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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